Alibaba

Qwen 2.5 14B

Name: Qwen 2.5 14B
Author: Alibaba

Current

HuggingFace

Ollama

2.0MDownloads322LikesSep 2024Released131K tokensContextApache 2.0License3 EntryQuality

Get started

— copy & paste to run locally

Ollama

ollama run qwen-2.5-14b

HuggingFace

huggingface-cli download qwen-2.5-14b

Quick specs

Parameters14B

Architecturedense

Context131K tokens

Modalitytext

Min RAM5.5 GB

Rec. RAM8.5 GB (Q4_K_M)

LicenseApache 2.0

FamilyQwen

✓ Chat✓ Reasoning

About this model

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

•Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models...
•Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g,...
•Long-context Support: up to 128K tokens and can generate up to 8K tokens
•Multilingual support: for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean,...

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Best hardware

Top picks for Qwen 2.5 14B

RTX 5090 Laptop 24GBC

24 GB

NVIDIA A30 24GBC

24 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.5 GB	Low	—
Q3_K_S	3	6.9 GB	Low	—
NVFP4	4	7.8 GB	Medium	—
Q4_K_M	4	8.5 GB	Medium	—
Q5_K_M	5	10.1 GB	High	—
Q6_K	6	11.5 GB	High	—
Q8_0	8	15.0 GB	Very High	—
F16	16	28.7 GB	Maximum	—

Quality benchmarks

Qwen 2.5 14B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—

HumanEval+83.5%

Aider Polyglot—

LiveCodeBench—

Reasoning

MMLU-Pro63.7%

GPQA Diamond45.5%

MATH-50080.0%

ARC Challenge—

General

Chatbot Arena—

IFEval81.0%

Source: official · 2024-09-19

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights8.5 GB

KV Cache2.2 GB

Runtime0.9 GB

Headroom2.4 GB

Quant

Bits

VRAM

Quality

Fit

Q2_K

5.5 GB

Low

—

Q3_K_S

6.9 GB

Low

—

NVFP4

7.8 GB

Medium

—

Q4_K_M

8.5 GB

Medium

—

Q5_K_M

10.1 GB

High

—

Q6_K

11.5 GB

High

—

Q8_0

15.0 GB

Very High

—

F16

28.7 GB

Maximum

—